code: def _make_A(pool_features, prefix, norm_layer, norm_kwargs):
      out = HybridConcurrent(axis=1, prefix=prefix)
      with out.name_scope():
          out.add(
              _make_branch(
                  None, norm_layer, norm_kwargs, (64, 1, None, None)
              )
          )
          out.add(
              _make_branch(
                  None,
                  norm_layer,
                  norm_kwargs,
                  (48, 1, None, None),
                  (64, 5, None, 2),
              )
          )
          out.add(
              _make_branch(
                  None,
                  norm_layer,
                  norm_kwargs,
                  (64, 1, None, None),
                  (96, 3, None, 1),
                  (96, 3, None, 1),
              )
          )
          out.add(
              _make_branch(
                  "avg",
                  norm_layer,
                  norm_kwargs,
                  (pool_features, 1, None, None),
              )
          )
      return out
  
file_path: gluon-cv/gluoncv/model_zoo/inception.py
imports: from mxnet.context import cpu
  from mxnet.gluon.block import HybridBlock
  from mxnet.gluon import nn
  from mxnet.gluon.nn import BatchNorm
  from mxnet.gluon.contrib.nn import HybridConcurrent
label_desc: Use image node_id 3 for calling a global function with example usage: _make_A(pool_features, prefix, norm_layer, norm_kwargs) and returns: out